Regularized soft K-means for discriminant analysis.
Xuesong YinSongcan ChenEnliang HuPublished in: Neurocomputing (2013)
Keyphrases
- discriminant analysis
- k means
- kernel discriminant analysis
- cluster analysis
- quadratic discriminant analysis
- face recognition
- linear discriminant analysis
- clustering algorithm
- clustering method
- feature extraction
- principal component analysis
- fisher criterion
- fisher discriminant analysis
- spectral clustering
- dimensionality reduction methods
- fisher linear discriminant analysis
- least squares
- feature space
- neural network
- partial least squares
- discriminant subspace
- graph embedding
- document clustering
- support vector
- expectation maximization
- dimensionality reduction